FKIE_CVE-2025-2953

Vulnerability from fkie_nvd - Published: 2025-03-30 16:15 - Updated: 2025-04-22 12:15
Severity ?
3.3 (Low) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Summary
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.
References
cna@vuldb.comhttps://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
cna@vuldb.comhttps://github.com/pytorch/pytorch/issues/149274Exploit, Issue Tracking
cna@vuldb.comhttps://github.com/pytorch/pytorch/issues/149274#issue-2923122269Exploit, Issue Tracking
cna@vuldb.comhttps://vuldb.com/?ctiid.302006Permissions Required, VDB Entry
cna@vuldb.comhttps://vuldb.com/?id.302006Third Party Advisory, VDB Entry
cna@vuldb.comhttps://vuldb.com/?submit.521279Third Party Advisory, VDB Entry
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/pytorch/pytorch/issues/149274Exploit, Issue Tracking
Impacted products
Vendor Product Version
linuxfoundation pytorch 2.6.0\+cu124
To clipboard 

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      "value": "A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects."
    },
    {
      "lang": "es",
      "value": "Se ha encontrado una vulnerabilidad clasificada como problem\u00e1tica en PyTorch 2.6.0+cu124. La funci\u00f3n torch.mkldnn_max_pool2d se ve afectada por este problema. La manipulaci\u00f3n provoca una denegaci\u00f3n de servicio. Un ataque debe abordarse localmente. Se ha hecho p\u00fablico el exploit y puede que sea utilizado."
    }
  ],
  "id": "CVE-2025-2953",
  "lastModified": "2025-04-22T12:15:16.043",
  "metrics": {
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          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
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          "providerUrgency": "NOT_DEFINED",
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          "valueDensity": "NOT_DEFINED",
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}


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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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